Tekkotsu as a Framework for Robot Learning Research

Reinforcement learning offers to robotics a frame- work and set of tools for the design of sophisticated and hard-to-engineer behaviors.







Reinforcement Learning in Robotics: A Survey - IAS TU Darmstadt
The source code of the benchmark suite is available in https://cmu-roboarch.github.io/rtrbench/. Index Terms?Robotics, Benchmarking, Workload ...
Reinforcement Learning for Robots Using Neural Networks - DTIC
In reinforcement learning, TD methods can be used to predict the utility of each state (i.e., to predict the sum of future rewards received from ...
15-494/694: Cognitive Robotics - CMU School of Computer Science
on the robot: ? TD learning for classical conditioning. ? Two-armed bandit learning problem. Video demos from. Tekkotsu. Robotics channel on. YouTube. Page 14 ...
Combining Configural and TD Learning on a Robot
Abstract. We combine configural and temporal difference learning in a classical conditioning model. The model.
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